Project Grant 2442384

Award Date 6/1/25
Completion Date 5/31/30
Dollars Obligated $374K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Providence, RI 02912, USA
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This Project Grant award for $374,291 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, titled "CAREER: From Enriched Private Set Intersection to Broad Applications of Secure Multi-Party Computation," aims to expand the use of secure multi-party computation (MPC) techniques, including private set intersection (PSI), to enable large-scale, privacy-preserving data analytics on sensitive data. The key products and services to be delivered include:

  1. Developing unified frameworks for private join and compute that compute arbitrary functions on data intersections, as well as fuzzy-matching PSI to identify noisy matches.
  2. Designing efficient protocols for large-scale PSI with unbalanced datasets and streaming data to better suit real-world scenarios.
  3. Applying the new MPC techniques to other important problems, such as privacy-preserving machine learning, genomic sequence matching, and private information retrieval.

The project also includes educational and outreach activities, such as curriculum integration, mentoring workshops, and tutorial resources to guide researchers and developers in this field. The award was granted to Brown University and is slated for completion by May 31, 2030.

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